Data Caching Across Microservices in a Serverless Architecture

By Dustin Ward

AWS FeedData Caching Across Microservices in a Serverless Architecture Organizations are re-architecting their traditional monolithic applications to incorporate microservices. This helps them gain agility and scalability and accelerate time-to-market for new features. Each microservice performs a single function. However, a microservice might need to retrieve and process data from multiple disparate sources. These can include…

Use Amazon SageMaker Feature Store in a Java environment

By Dustin Ward

AWS FeedUse Amazon SageMaker Feature Store in a Java environment Feature engineering is a process of applying transformations on raw data that a machine learning (ML) model can use. As an organization scales, this process is typically repeated by multiple teams that use the same features for different ML solutions. Because of this, organizations are…

Build a SQL-based ETL pipeline with Apache Spark on Amazon EKS

By Dustin Ward

AWS FeedBuild a SQL-based ETL pipeline with Apache Spark on Amazon EKS Today, the most successful and fastest growing companies are generally data-driven organizations. Taking advantage of data is pivotal to answering many pressing business problems; however, this can prove to be overwhelming and difficult to manage due to data’s increasing diversity, scale, and complexity.…

Data Tokenization with Amazon Athena and Protegrity

By Dustin Ward

AWS FeedData Tokenization with Amazon Athena and Protegrity By Matt Hutton, VP Cloud Engineering – ProtegrityBy Tamara Astakhova, Partner Solution Architect – AWS Data security has always been an important consideration for organizations when complying with data protection regulations. When it comes to protecting sensitive data, there are a few options you can choose from.…